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A meta-methodology for improving land cover and land use classification with SAR imagery
(2020-03-01)
Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most ...
Gold-standard and improved framework for sperm head segmentation
(ELSEVIER IRELAND LTD, 2014)
Semen analysis is the first step in the evaluation of an infertile couple. Within this process, an accurate and objective morphological analysis becomes more critical as it is based on the correct detection and segmentation ...
Can palatal splint improve stability of segmental Le Fort I osteotomies?
(2020-01-01)
Objectives: The purpose of this study was to evaluate the influence of a palatal splint on stability in multi-segment maxillary osteotomies. Setting and Sample Population: Retrospective series of fifty-one adult patients, ...
A latent class segmentation analysis of airlines based on website evaluation
(Elsevier Ltd, 2016)
NPHS2 mutations in adult patients with primary focal segmental glomerulosclerosis
(Wichtig Editore, 2006-05-01)
Background. Mutations in the NPHS2 gene encoding the protein podocin have recently been found in a recessive form of steroid-resistant nephrotic syndrome. Focal segmental glomerulosclerosis (FSGS) was the histologic diagnosis ...
Performance Analysis of the Segment Transfer Rate of TCP-UEM
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2019)
Assessment of image features for vessel wall segmentation in intravascular ultrasound images
(Springer, 2016-08)
Background: Intravascular ultrasound (IVUS) provides axial greyscale images, allowing the assessment of the vessel wall and the surrounding tissues. Several studies have described automatic segmentation of the luminal ...
A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF
(Institute Of Electrical And Electronics Engineers, 2015-06)
Segmentation of multispectral remote sensing images is a key competence for a great variety of applications. Many of the applied segmentation algorithms are generative models based on Markov random fields. These approaches ...
Medical Image Segmentation Via Atlases And Fuzzy Object Models: Improving Efficacy Through Optimum Object Search And Fewer Models
(AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICSMELVILLE, 2016)